Data modeling Job Salaries

Find salary information for remote positions requiring Data modeling skills. Make data-driven decisions about your career path.

Data modeling

Median high-range salary for jobs requiring Data Modeling:

$178,000

This analysis is based on salary ranges collected from 271 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $130,000 - $178,000

25% of job descriptions advertised a maximum salary above $220,000.
5% of job descriptions advertised a maximum salary above $300,000.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include AWS, Data engineering and Python. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

AWS
30% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $152,250 - $210,000
- 25% of job descriptions advertised a maximum salary above $248,460.5.
- 5% of job descriptions advertised a maximum salary above $316,000.
Data engineering
28% jobs mention Data engineering as a required skill. The Median Salary Range for these jobs is $152,500 - $200,000
- 25% of job descriptions advertised a maximum salary above $230,000.
- 5% of job descriptions advertised a maximum salary above $297,812.5.
Python
44% jobs mention Python as a required skill. The Median Salary Range for these jobs is $150,000 - $190,285
- 25% of job descriptions advertised a maximum salary above $230,000.
- 5% of job descriptions advertised a maximum salary above $307,560.
Communication Skills
40% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $140,000 - $190,000
- 25% of job descriptions advertised a maximum salary above $230,000.
- 5% of job descriptions advertised a maximum salary above $328,150.
ETL
31% jobs mention ETL as a required skill. The Median Salary Range for these jobs is $130,147.5 - $180,000
- 25% of job descriptions advertised a maximum salary above $211,500.
- 5% of job descriptions advertised a maximum salary above $256,677.
SQL
83% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $130,000 - $178,000
- 25% of job descriptions advertised a maximum salary above $220,000.
- 5% of job descriptions advertised a maximum salary above $300,000.
Analytical Skills
34% jobs mention Analytical Skills as a required skill. The Median Salary Range for these jobs is $130,000 - $175,000
- 25% of job descriptions advertised a maximum salary above $221,200.
- 5% of job descriptions advertised a maximum salary above $300,465.5.
Data Analysis
58% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $125,000 - $170,000
- 25% of job descriptions advertised a maximum salary above $223,300.
- 5% of job descriptions advertised a maximum salary above $302,730.
Data visualization
48% jobs mention Data visualization as a required skill. The Median Salary Range for these jobs is $126,650 - $170,000
- 25% of job descriptions advertised a maximum salary above $210,000.
- 5% of job descriptions advertised a maximum salary above $280,950.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Digital Advertising, Software Development and Cybersecurity. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

Digital Advertising
1% jobs are in Digital Advertising industry. The Median Salary Range for these jobs is $163,064 - $303,900
- 25% of job descriptions advertised a maximum salary above $327,765.
- 5% of job descriptions advertised a maximum salary above $335,720.
Software Development
27% jobs are in Software Development industry. The Median Salary Range for these jobs is $150,000 - $203,900
- 25% of job descriptions advertised a maximum salary above $237,500.
- 5% of job descriptions advertised a maximum salary above $320,200.
Cybersecurity
1% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $163,000 - $190,000
- 25% of job descriptions advertised a maximum salary above $240,250.
- 5% of job descriptions advertised a maximum salary above $257,000.
Healthcare
5% jobs are in Healthcare industry. The Median Salary Range for these jobs is $130,295 - $185,000
- 25% of job descriptions advertised a maximum salary above $206,250.
- 5% of job descriptions advertised a maximum salary above $254,471.5.
Fintech
3% jobs are in Fintech industry. The Median Salary Range for these jobs is $117,057.5 - $175,000
- 25% of job descriptions advertised a maximum salary above $219,000.
- 5% of job descriptions advertised a maximum salary above $227,500.
Software as a Service (SaaS)
1% jobs are in Software as a Service (SaaS) industry. The Median Salary Range for these jobs is $130,500 - $173,580
- 25% of job descriptions advertised a maximum salary above $180,000.
Insurance
1% jobs are in Insurance industry. The Median Salary Range for these jobs is $137,500 - $171,000
- 25% of job descriptions advertised a maximum salary above $215,000.
- 5% of job descriptions advertised a maximum salary above $250,000.
Data Engineering
1% jobs are in Data Engineering industry. The Median Salary Range for these jobs is $126,100 - $168,150
- 25% of job descriptions advertised a maximum salary above $169,537.5.
- 5% of job descriptions advertised a maximum salary above $170,000.
Financial Services
2% jobs are in Financial Services industry. The Median Salary Range for these jobs is $99,501.91 - $159,000
- 25% of job descriptions advertised a maximum salary above $165,941.08.
- 5% of job descriptions advertised a maximum salary above $183,764.31.
Data Analytics
1% jobs are in Data Analytics industry. The Median Salary Range for these jobs is $113,000 - $133,000
- 25% of job descriptions advertised a maximum salary above $190,750.
- 5% of job descriptions advertised a maximum salary above $210,000.

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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🔥 Sr. Principal Cyber Metrics & Reporting Engineer - Remote US

Posted about 6 hours ago

📍 United States

💸 138000.0 - 238050.0 USD per year

🔍 Life Science

🔧 Requirements

Minimum Bachelor's degree in Cybersecurity, Data analytics, Information Systems, or a related field.
A minimum of 8 years of demonstrable experience in cyber metrics and reporting, business analytics, requirements analysis, forecasting, industry research, planning, and/or management consulting required to enable data storytelling to enable visualization
Experience in SQL data modeling, SQL query development and understanding of ETL is required.
Understanding of designing and developing cybersecurity dashboards using tools like Tableau, Power BI, or similar.
Strong experience with requirements analysis and testing
Awareness of relevant industry trends and standard processes in cybersecurity metrics and reporting.
Ability to collect, analyze, and interpret large datasets to derive relevant insights and trends.
Ability to effectively collect and communicate complex information to customers.
Proactive and self-motivated approach to work, with excellent problem-solving and analytical skills.
Superb communication and storytelling skills, with the ability to shape messages for various audiences; including insights to executive-level audiences.
Analytical approach, with the ability to analyze data and identify insights.
Strong collaboration and customer management skills with a track record of successful delivery across multi-functional teams.
Ability to work effectively at all levels of the organization, from executive committee to individual employees.
Demonstrated Project Management, Scrum, Agile skills is required

💡 Responsibilities

Shape, develop and implement an effective cybersecurity metrics & reporting requirements capability
Partner with customers to define report requirements, ensuring clarity and feasibility
Documents detailed reporting specifications, including data sources, metrics, and presentation format.
Validates report designs, data, and developed reports against business requirements.
Conducts detailed testing on reports, focusing on data preciseness, visual integrity, and usability.
Works with visualization and data & analytics teams to resolve any identified issues.
Conduct data discovery tied to requirements, including exploratory data analysis, data quality assessment.
Analyze requirements and data sources to identify patterns, key insights, action items, and storytelling potential.
Translate data into value while assessing effective data visualization, experience design and trending analytics linked to business and cybersecurity objectives.
Describe the key elements of a successful data story: knowing one’s audience, defining a goal, maintaining engagement, and being explicit about the takeaways.
Measure how a data story achieves its intended goals and where it can be optimized.
Identify, design and implement requirements to inform reporting, dashboards and strategy.
Identify and create metrics to measure performance through automated dashboards.

SQL Business Intelligence Cybersecurity Data Analysis ETL Tableau Data engineering Data visualization Data modeling Data analytics

Posted about 6 hours ago

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🔥 Staff Enterprise-Wide Applications Analyst

Posted about 8 hours ago

📍 United States

💸 141400.0 - 212000.0 USD per year

🏢 Company: Northrop_Grumman_Restricted_Site

🔧 Requirements

Bachelor’s degree in business operations, Computer Technology, or equivalent field with 10+ years of related experience.
Broad understanding of ERP technical principles, theories, and concepts, along with a general knowledge of interrelated disciplines.
Ability to perform work in a virtual environment.
Self-starter, with strong organizational and communication skills (written and verbal).

💡 Responsibilities

Oversee development, delivery, and sustainment of S4 system capabilities, involving all the aforementioned modules of SAP S4.
Support a diverse, cross-sector, cross-functional team of technical and business experts and end users.
Collaborate, define, and deliver technical solutions to a wide range of complex difficult problems that are imaginative, thorough, practicable, and consistent with organizational goals and objectives.
Execute interface development and troubleshooting, enhancement development and testing, business process improvements, and regression testing and validation.
Provide SAP configuration support and oversee overall Configuration Management.
Create and maintain formal Interface documentation including functional specifications, workflows, and data maps.
Oversee development and tracking of system roadmaps and schedules to meet short and long-term strategic execution plans to meet critical milestones.
Mentoring junior or peer level team members.
Provide routine status, which may include, Executive briefings.

SQL Business Analysis Excel VBA SAP SAP ABAP VBA Regression testing Communication Skills Mentoring Data modeling

Posted about 8 hours ago

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🔥 Business Development Manager- Data Solutions

Posted about 10 hours ago

📍 North America, Caribbean and LATAM

🧭 Full-Time

💸 65000.0 - 80000.0 USD per year

🔍 Hospitality

🏢 Company: Lighthouse

🔧 Requirements

2+ years of proven experience working with DMOs, Tourism Boards, public sector institutions, and/or tourism organizations.
A focused, “hunter” mentality to find, solicit, and drive new business opportunities through consultative selling.
Excellent interpersonal, verbal and written communication skills in English

💡 Responsibilities

Develop and execute a business development plan to achieve quarterly revenue goals and sales KPIs across your assigned territory.
Source new business opportunities across multiple channels (e.g. cold calling, email outreach campaigns, webinars, product demo/training sessions, interaction with professional networking groups, and attending industry events).
Maintain accurate records of your activities, pending tasks, and pipeline management.

SQL Business Development Business Intelligence Data Analysis Salesforce Negotiation Presentation skills Account Management Client relationship management Sales experience Market Research Data visualization Lead Generation CRM Financial analysis Data modeling English communication SaaS PowerPoint

Posted about 10 hours ago

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🔥 Staff Technical Enablement Specialist

Posted about 11 hours ago

📍 United States

💸 123000.0 - 235900.0 USD per year

🔍 Data/AI

🏢 Company: Databricks👥 1001-5000💰 $684,559,082 Series I over 1 year agoArtificial Intelligence (AI)Machine Learning Analytics Information Technology

🔧 Requirements

7+ years of experience in technical pre-sales, technical enablement, technical program management, or consulting with a focus on data, AI, or cloud technologies.
Experience building, delivering, and scaling technical enablement programs for highly skilled technical teams.
Proven ability to create, manage, and execute large-scale enablement programs, balancing technical rigor with structured program management.
Exceptional communication and presentation skills, with the ability to engage technical and executive audiences.
Strong stakeholder management and collaboration skills, with the ability to align multiple teams toward a common goal.
Experience in technical pre-sales roles, building proofs-of-concept, or implementing technical solutions for customers (Preferred)
Databricks certification or experience with Apache Spark™, MLflow, Delta Lake, and other open-source technologies (Preferred)

💡 Responsibilities

Design, implement, and scale enablement solutions that foster domain specialization, hands-on expertise, and technical mastery.
Introduce innovative multi-signal validation methods that assess expertise through real-world application and structured learning.
Facilitate enablement sessions, workshops, and hands-on activities that reinforce applied problem-solving and deep technical skills.
Develop and maintain technical content, including reference architectures, solution guides, and POC templates.
Measure impact and iterate on enablement programs, leveraging feedback and performance data to drive improvements.
Collaborate with technical field teams, enablement leaders, and stakeholders to continuously refine and scale high-impact training programs.
Drive adoption of enablement programs and strategies among senior leaders by proposing solutions that align with business priorities, address key challenges, and incorporate industry trends.

AWS Project Management Python SQL Cloud Computing Data Analysis ETL GCP Machine Learning MLFlow Apache Kafka Azure Data engineering REST API Communication Skills Collaboration CI/CD Problem Solving Mentoring Presentation skills Training Data visualization Stakeholder management Strategic thinking Data modeling Customer Success

Posted about 11 hours ago

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🔥 Financial Forensics & Asset Recovery Specialist

Posted about 11 hours ago

📍 United States

💸 200000.0 - 300000.0 USD per year

🔍 Financial Forensics

🏢 Company: Firnal

🔧 Requirements

5+ years of experience in financial forensics, asset tracing, fraud investigation, or AML compliance.
Strong knowledge of global banking systems, offshore structures, cryptocurrency transactions, and financial crime patterns.
Proficiency in data analytics tools, forensic accounting software, and AI-driven financial tracking systems.

💡 Responsibilities

Conduct in-depth financial forensic investigations to trace and recover misappropriated funds.
Analyze banking transactions, shell corporations, real estate holdings, and offshore accounts to uncover hidden assets.
Work with international financial institutions, law enforcement, and legal teams to facilitate asset recovery.
Utilize AI-driven financial modeling and other tools to map out fund movements and fraudulent activity.
Ensure compliance with AML, KYC, FATF, and other international financial regulations.
Prepare detailed investigative reports and presentations for government officials and stakeholders.

SQL Blockchain Accounting Compliance Risk Management Data visualization Financial analysis Data modeling Data analytics

Posted about 11 hours ago

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🔥 Senior Software Engineer, Core Systems & Finance

Posted about 21 hours ago

📍 Worldwide

🧭 Full-Time

💸 100000.0 - 200000.0 USD per year

🔍 Fintech

🏢 Company: Swan Bitcoin👥 11-50💰 Series A almost 3 years ago🫂 Last layoff 8 months agoFinancial Services Finance FinTech

🔧 Requirements

Senior level experience with SQL, data modeling, REST APIs, event driven systems, etc
Experience at a bank, trust company, fintech, or other financial institution
At least 5 years of total software development experience, with at least 2 years at a financial institution or fintech
Commitment to great architecture, clean code, unit testing, and excellence in documentation
Well developed opinions on software architecture and principles of development in high scale systems
Experience with NodeJS is preferred, but senior level experience in any similar environment works
AWS experience is a big plus

💡 Responsibilities

Architecting and designing data models and systems related to financial ledgering
Integrating open source and commercial ledgering, reconciliation, accounting, and reporting systems
Diagramming and documenting complex financial systems and flows
Reducing complexity through refactoring, modularization, and simplification

AWS Backend Development Node.js Software Development SQL Software Architecture API testing REST API Accounting Data modeling Finance Data analytics

Posted about 21 hours ago

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🔥 Manager, Financial Data, Planning & Analytics

Posted 1 day ago

📍 Canada

💸 104000.0 - 121600.0 CAD per year

🔍 Technology, SaaS, telecommunications, high-growth

🏢 Company: Tucows Inc.

🔧 Requirements

6+ years of experience in financial planning, analysis, and financial systems transformation.
2+ years in management roles overseeing FP&A processes and people.
Strong proficiency in financial modeling, data analysis, and financial automation tools.
Experience with ERP systems (e.g., Sage Intacct, NetSuite) and BI tools (e.g., Looker, Tableau, Power BI).
Proven ability to automate financial processes, integrate AI-driven tools, and optimize financial reporting structures.
Strong leadership skills with experience in fostering collaboration across finance and operational teams.
Excellent oral, written, and visual communication skills, with the ability to present financial findings to executive leadership.

💡 Responsibilities

Lead and own the annual budgeting and planning cycle, ensuring coordination across all business unit finance teams.
Maintain and improve forecasting processes, including quarterly forecasting and continuous planning methodologies.
Develop the company’s long-term financial forecast and financial models to support strategic decision-making.
Drive the modernization of financial systems and reporting infrastructure to enhance efficiency, automation, and AI-driven analytics.
Oversee the administration, optimization, and integration of financial systems (e.g., ERP, BI tools, planning software) to improve data flow and usability.
Partner with IT and finance teams to implement AI-driven automation and machine learning algorithms to enhance financial forecasting and decision-making.
Assess and optimize financial processes and technology, identifying automation opportunities and ensuring scalability.
Develop and maintain management reporting, dashboards, and KPIs to analyze business performance, including variances to budget, forecast, and prior periods.
Prepare financial reports and dashboards for executive management, leveraging AI-powered insights and automated reporting tools.
Support Board and Audit Committee presentations, ensuring data accuracy, KPI performance tracking, and financial analysis.
Leverage financial insights to contribute to quarterly and annual management discussions and regulatory filings (e.g., 10K and 10Q reporting).
Act as a strategic finance business partner to corporate leadership, helping shape financial strategy and operational efficiency.
Lead monthly variance analysis, collaborating directly with operational management and executives to identify and resolve budget discrepancies.
Provide decision-support analysis for business and procurement decisions, leveraging financial data and market insights.
Research broader economic trends and incorporate findings into financial modeling and forecasting.

Leadership Project Management SQL Data Analysis People Management Tableau Financial Management RDBMS Communication Skills Analytical Skills Microsoft Excel Accounting Budgeting Data visualization Stakeholder management Strategic thinking Process improvement Financial analysis Data modeling Finance Budget management PowerPoint

Posted 1 day ago

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🔥 Chief Operating Officer

Posted 1 day ago

📍 AR, CA, CO, IL, MA, MN, NE, NJ, NY, NC, OH, PA, TN, TX, UT, VA, WA, WI

🧭 Full-Time

💸 250000.0 - 300000.0 USD per year

🔍 HRtech, L&D, SaaS

🏢 Company: EasyLlama

🔧 Requirements

Successfully scaled a B2B SaaS startup (ideally HRtech or L&D) and have proven experience executing at a high-growth company (Series B and beyond).
Background in Strategy & Execution: You have an MBA and started your career in management consulting, private equity, or investment banking, before moving onto hands-on experience in high-growth SaaS companies where you have driven operational excellence and performance at a senior leadership level.
Strong leadership skills
Data-driven and KPI-focused
Results-Oriented & Strategic Thinker
Strong understanding of finance, legal, and GTM/revenue operations
Ability to optimize existing processes and create new ones.

💡 Responsibilities

Partner with the CEO to translate vision into actionable strategy, ensuring alignment across all teams and functions.
Set a high-performance standard for EasyLlama’s leadership team, ensuring all leaders meet their objectives and drive results.
Improve upon established company-wide north star metrics framework, build reports, and provide data-driven insights to the CEO and leadership team.
Establish a rigorous operating framework that includes key business rhythms, performance tracking, and standardized workflows across departments to increase efficiency and scalability.
Lead business operations as the cohesive force between revenue, product, and operations teams, ensuring all functions work together toward common company goals.
Work closely with People Ops to develop and implement effective talent management strategies, cultivating an engaged and high-performing workforce.
Lead company-wide meetings, including daily revenue meetings, leadership retreats, all-hands meetings, and monthly business reviews, ensuring transparency and accountability.
Work with Project Manager to execute high-impact projects, ensuring they stay on track and deliver results.
Hire and work closely with finance, legal, and external advisors to ensure sound financial management, compliance, and risk mitigation.
Oversee revenue performance by driving insights, accountability, and execution across Sales, Marketing, and Customer Success Ops.
Design and implement a structured data architecture that ensures clean, reliable, and accessible data across all business functions working closely with Data engineering.
Own financial planning, forecasting, and overall P&L management, ensuring strategic investments align with business goals and drive sustainable growth.

Leadership Project Management Data Analysis People Management HR Management Cross-functional Team Leadership Operations Management Business Operations Financial Management Strategic Management Analytical Skills Problem Solving Agile methodologies Organizational skills Presentation skills Written communication Compliance Interpersonal skills Excellent communication skills Account Management Negotiation skills Reporting Active listening Client relationship management Cross-functional collaboration Sales experience Data visualization Team management Stakeholder management Strategic thinking Process improvement Financial analysis Data modeling Finance Change Management Customer Success SaaS Budget management

Posted 1 day ago

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🔥 E-Commerce Business Intelligence Analyst | 100% Remote EU

Posted 1 day ago

📍 Albania, Bosnia and Herzegovina, Croatia, Czech Republic, Estonia, Greece, Georgia, Kosovo, Latvia, Lithuania, Moldova, Montenegro, North Macedonia, Poland, Portugal, Romania, Slovakia, Malta, Slovenia, Serbia, Cyprus, Bulgaria, Hungary, Netherlands, the United Kingdom, and South Africa

🧭 Full-Time

💸 1800.0 - 2800.0 EUR per month

🔍 E-Commerce

🏢 Company: Foxelli Group👥 51-100 Digital Marketing E-Commerce Marketing

🔧 Requirements

Strong analytical skills with experience in e-commerce data analysis, including customer behavior, sales, inventory, and website traffic.
Expertise in developing customer journey maps and reporting KPIs and business trends using tools like Google Analytics, Power BI, or Tableau.
Proficient in predictive modeling and optimizing marketing campaigns, inventory, and website layouts based on data-driven insights.
Experience with A/B testing, conversion rate optimization, and collaborating with UX/UI teams to enhance user experience.
Familiarity with data privacy laws and best practices for data governance and security.
Skilled in setting up automated performance monitoring and alerts for site issues or metric shifts.
Ability to stay updated with the latest industry trends and continuously improve data analysis processes and tools.

💡 Responsibilities

Analyze data to identify trends, patterns, and insights related to customer behavior, sales, inventory, and website traffic.
Develop customer journey maps for various segments, illustrating paths from initial contact to final purchase.
Create reports and dashboards highlighting KPIs, insights, and business trends.
Define and track necessary analytics, providing actionable recommendations for team success.
Develop predictive models to forecast sales and customer behavior for optimizing inventory, marketing, and product strategies.
Optimize marketing campaigns and website layouts using data-driven insights.
Conduct A/B testing to enhance website conversion rates and customer engagement.
Collaborate with UX/UI teams to implement data-driven improvements for a smoother customer journey.
Leverage insights to optimize marketing channels and increase engagement and conversion rates.
Monitor the impact of changes and continuously test to improve user experience and outcomes.
Ensure compliance with data privacy laws and enforce data governance and security policies.
Stay updated with industry trends and explore new tools and sources to enhance data analysis capabilities.
Monitor website performance daily and set up automated alerts for any significant issues.
Provide rapid response analyses and recommendations to address shifts or problems in site performance.

SQL Business Intelligence Data Analysis Data Mining ETL Google Analytics Tableau REST API Communication Skills Analytical Skills Problem Solving JSON Data visualization Data modeling A/B testing

Posted 1 day ago

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🔥 Revpro Engineer

Posted 1 day ago

📍 US

🧭 Full-Time

💸 115000.0 - 184000.0 USD per year

🔍 Software Development

🏢 Company: Toast👥 51-100 Location Based Services Internet Information Technology

🔧 Requirements

5+ years experience with Zuora Revenue (RevPro) developing and configuring features and solutions
Deep knowledge of 606 Revenue Recognition solutions and revenue accounting policies required for 606 compliance
2+ years in Zuora Revenue implementation experience
Ability to have confident techno-functional conversations with cross functional teams across departments, advising and addressing concerns about finance and accounting concepts
Extensive knowledge of internal controls best practices and SOX Compliance
Ability to learn new technologies as they become prevalent and widely implemented, decision-making, time management, and task prioritization
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or equivalent.

💡 Responsibilities

Own the overall configuration for the Zuora Revenue platform
Collaborate with product management and technical revenue leads to ensure balance between short- and long-term goals for the Financial Systems in a rapidly growing organization
Play a key role in owning and improving SOPs and monitoring best practices for Zuora Revenue
Partner with Revenue Technical Leads in the recommended evolution path for Zuora Revenue to meet the scale of our business
Define standards and processes to support and facilitate revenue financial systems for Toast
Work with SOX and compliance teams to ensure all controls are satisfied for audit
Triage and identify bug fixes required for Zuora Revenue, while working with 3rd party support
Own RevPro RTB (Run The Business) for the monthly close
Participate in all stages of the SDLC, from QA to UAT, for Zuora Revenue related fixes and upstream system impacts

SQL ETL API testing REST API Accounting Compliance Financial analysis Data modeling

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Shown 10 out of 315

Data modeling Job Salaries

Median high-range salary for jobs requiring Data Modeling:

Skills and Salary

AWS

Data engineering

Python

Communication Skills

ETL

SQL

Analytical Skills

Data Analysis

Data visualization

Industries and Salary

Digital Advertising

Software Development

Cybersecurity

Healthcare

Fintech

Software as a Service (SaaS)

Insurance

Data Engineering

Financial Services

Data Analytics

Jobs